Paper

  • General Approach to Solve Low-Thrust Multi-Target Space Logistics Problems

    International Astronautical Federation (IAF)

    General Approach to Solve Low-Thrust Multi-Target Space Logistics Problems

    Riccardo Apa, Jennifer Hudson, Marcello Romano p1400-1414 from IAF Astrodynamics Symposium
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  • General Enterprising Tendencies of Scientists, Engineers, and Technology Employees in an Industrial Organisation

    International Association for Management of Technology (IAMOT)

    General Enterprising Tendencies of Scientists, Engineers, and Technology Employees in an Industrial Organisation

    Elma van der Lingen, Samuel Pretorius p190-206 from 30th Annual Conference of the International Association for Management of Technology (IAMOT 2021)
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  • General Relativity Tests with the Two LARES Missions and the Proposed LARES 3 Lunar Satellite

    International Astronautical Federation (IAF)

    General Relativity Tests with the Two LARES Missions and the Proposed LARES 3 Lunar Satellite

    Ignazio Ciufolini, Claudio Paris, Erricos C. Pavlis, Antonio Paolozzi, Emiliano Ortore, Giuseppe Bianco, Stefano Bianchi, Agostino Neri, Alessandro Gabrielli, Darpanjeet Deka p84-93 from IAF Symposium on Ongoing and Near Future Space Astronomy and Solar-System Science Missions
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  • Generalized Gaussian Smoothing Homotopy Method for Solving Nonlinear Optimal Control Problems

    International Astronautical Federation (IAF)

    Generalized Gaussian Smoothing Homotopy Method for Solving Nonlinear Optimal Control Problems

    Binfeng Pan, Yunting Ran, Mengxin Zhao p644-659 from IAF Astrodynamics Symposium
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  • Generalized Precise Orbit Prediction of LEO Satellites via Physics Informed Machine Learning

    International Astronautical Federation (IAF)

    Generalized Precise Orbit Prediction of LEO Satellites via Physics Informed Machine Learning

    Takashi Maruyama, Daisuke Etou, Toshio Kamiya, Francesco Alesiani, Makoto Takamoto p1562-1569 from IAF Astrodynamics Symposium
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  • Generation and Classification of Critical Points in Uncertain N-Body Problems via Machine Learning

    International Astronautical Federation (IAF)

    Generation and Classification of Critical Points in Uncertain N-Body Problems via Machine Learning

    Callum Wilson, Massimiliano Vasile p981-992 from IAF Astrodynamics Symposium
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  • Generation and Stability Analysis of Long-Term Bounded Spacecraft Cluster Orbits using Lagrangian Coherent Structures

    International Astronautical Federation (IAF)

    Generation and Stability Analysis of Long-Term Bounded Spacecraft Cluster Orbits using Lagrangian Coherent Structures

    Lin Chen, Ming Xu, Hao Feng, Jun Zhu, Han Gao p972-980 from IAF Astrodynamics Symposium
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  • Generation of Tables of ODMSP-Compliance Metrics for Design of Above-GEO and Above-GPS Upper Stage Disposal Orbits

    International Astronautical Federation (IAF)

    Generation of Tables of ODMSP-Compliance Metrics for Design of Above-GEO and Above-GPS Upper Stage Disposal Orbits

    Alan B. Jenkin, Deanna Mains, Juan Maldonado, Jehosafat Cabrera, John McVey, Roshan Rachapudi, Marlon Sorge p355-368 from 22nd IAA Symposium on Space Debris
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  • Generation Z Consumers’ Attitudes Toward Cultural Appropriation by High-end Clothing Brands

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Generation Z Consumers’ Attitudes Toward Cultural Appropriation by High-end Clothing Brands

    Xu He, Xiao-Wei Song, You-Fang Chen p140-147 from 17th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2024)
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  • Generation Z Fashion Brand Clothing Consumption Preference and Behaviour

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Generation Z Fashion Brand Clothing Consumption Preference and Behaviour

    Kai-Xin Chen, Hong-Bo Yan, You-Fang Chen, Xiao-Wei Song p47-53 from 17th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2024)
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  • Generative Deep Learning for Enhanced Multi-Spectral Surface Analysis and Dimensional Augmentation of Data

    International Astronautical Federation (IAF)

    Generative Deep Learning for Enhanced Multi-Spectral Surface Analysis and Dimensional Augmentation of Data

    Sina T. S. Strathaus, Jan Loettgen p1248-1250 from IAF Earth Observation Symposium
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  • Generative In-Space Manufacturing of Large Space Structures using Fibre-Reinforced Photopolymers

    International Astronautical Federation (IAF)

    Generative In-Space Manufacturing of Large Space Structures using Fibre-Reinforced Photopolymers

    Jannik Pimpi, Michael Kringer, Thomas Sinn, Markus Pietras p238-248 from IAF Materials and Structures Symposium
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